In this paper, balancing based model order reduction (MOR) for large-scale linear discrete-
time time-invariant systems in prescribed finite time intervals is studied. The first main topic is …

In this paper, we consider the problem of finding surrogate models for large-scale second-
order linear time-invariant systems with inhomogeneous initial conditions. For this class of …

Thermal effects are the most dominant source for displacements in machine tools and thus
workpiece inaccuracies during the manufacturing process. A promising strategy to meet the …

Based on the approximate finite-time Gramians, this paper studies model order reduction
method of port-Hamiltonian systems with inhomogeneous initial conditions. The …

This paper introduces two enhanced model order reduction techniques designed for
scenarios involving frequency-weighted and frequency-limited-interval Gramians in the …

In this paper we consider a geothermal energy storage in which the spatio-temporal
temperature distribution is modeled by a heat equation with a convection term. Such …

We propose a reduced-order model (ROM) based on dynamic mode decomposition (DMD)
for efficient reduced-order modeling of parameterized time-dependent partial differential …

In this article, we consider a geothermal energy storage system in which the spatio-temporal
temperature distribution is modeled by a heat equation with a time-dependent convection …

The frequency‐limited model order reduction (FLMR) problem considers the model
approximation within a desired frequency interval. It is observed that some of the existing …

We consider linear dynamical systems composed of differential–algebraic equations
(DAEs), where a quantity of interest (QoI) is assigned as output. Physical parameters of a …